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Visualization of Urban Growth Pattern in Chennai Using Geoinformatics and Spatial Metrics

Aithal, Bharath H and Ramachandra, TV (2016) Visualization of Urban Growth Pattern in Chennai Using Geoinformatics and Spatial Metrics. In: JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 44 (4). pp. 617-633.

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Official URL: http://dx.doi.org/10.1007/s12524-015-0482-0

Abstract

Urban growth is the spatial pattern of land development to accommodate anthropogenic demand that influences other land uses (e.g.: open spaces, water bodies, etc.). Driven by population increase, urban growth alters the community's social, political and economic institutions with changing land use and also affects the local ecology and environment. India's urban population has increased by 91 million between 2001 and 2011, with migration, the inclusion of new/adjoining areas within urban limits, etc. Evidently, the percentage of urban population in India has increased tremendously: from 1901 (10.8 %) to 2011 (31.16 %). Chennai has an intensely developed urban core, which is surrounded by rural or peri-urban areas that lack basic amenities. Studying the growth pattern in the urban areas and its impact on the core and periphery are important for effective management of natural resources and provision of basic amenities to the population. Spatial metrics and the gradient approach were used to study the growth patterns and status of urban sprawl in Chennai city's administrative boundary and areas within a 10 km buffer, for the past forty years. It is found that though Chennai experiences high sprawl at peri-urban regions, it also has the tendency to form a single patch, clumped and simple shaped growth at the core. During this transition, substantial agricultural and forest areas have vanished. Visualization of urban growth of Chennai for 2026 using cellular automata indicates about 36 % of the total area being converted to urban with rapid fragmented urban growth in the periphery and outskirts of the city. Such periodic land-use change analysis monitoring, visualization of growth pattern would help the urban planner to plan future developmental activities more sustainably and judiciously.

Item Type: Journal Article
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Additional Information: Copy right for this article belongs to the SPRINGER, 233 SPRING ST, NEW YORK, NY 10013 USA
Department/Centre: Division of Biological Sciences > Centre for Ecological Sciences
Division of Earth and Environmental Sciences > Center for infrastructure, Sustainable Transportation and Urban Planning (CiSTUP)
Division of Mechanical Sciences > Centre for Sustainable Technologies (formerly ASTRA)
Date Deposited: 23 Aug 2016 10:41
Last Modified: 23 Aug 2016 10:41
URI: http://eprints.iisc.ernet.in/id/eprint/54453

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